AI Observability Engineer
Tasks
- Build dashboards metrics and monitoring
- Configure AI tracing systems
- Create telemetry pipelines and operational insights
- Define monitoring strategies for logs metrics traces alerting SLIs SLOs
- Design observability solutions for AI workloads
- Develop Python instrumentation and data collection
- Instrument AI platforms for health and performance visibility
- Maintain CI CD pipelines for observability tooling
- Manage infrastructure as code workflows
- Support incident investigations and root cause analysis
Perks/Benefits
- Career development
- Collaborative international teams
- Continuous learning
- Flexible working environment
- Impactful AI infrastructure projects
- Ownership and autonomy
Skills/Tech-stack
AKS | Alerting | Application Insights | Azure Monitor | CI/CD | Cause analysis | Grafana | Kubernetes | Kusto Query | Kusto Query Language | LLM monitoring | Log Analytics | Machine Learning | Managed Grafana | OpenTelemetry | PromQL | Prometheus | Python | Query Language | Root Cause Analysis | Root cause | SLI | SLO | Terraform
Education
N/A
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